Foreign organization name matching

ABSTRACT

Embodiments include a system, method, and computer program product for foreign organization name matching. Aspects include receiving a first entity name from a first database configured in a first language and receiving a second database, wherein the second database includes a plurality of entity names in a second language, wherein the first and second languages are different. Aspects also include performing an Internet search based on the first entity name, wherein a language setting of the Internet search is configured to the second language and identifying a list of candidate names based on a set of results from the Internet search. Another aspect includes filtering the list to obtain a resulting candidate name and determining whether the resulting candidate name matches one of the entity names in the second database. Aspects include associating the first entity name and a matching entity name in the second database based on the determination.

BACKGROUND

The present disclosure relates generally to determining data matchesbetween disparate databases using online search tools, and morespecifically, to foreign organization name matching.

In today's environment, companies conduct business globally and have aneed to manage their international accounts and customers. In order todo so, they must have the capability to quickly and efficiently identifythese international accounts using existing tools. Typically, largeorganizations have multiple customer and supplier databases that containinformation regarding companies that they work with. In multi-nationalorganizations, it is common for separate databases to be maintained forvarious portions of the company that operate in different countries,such databases are normally provided in the native language for eachcountry.

Multi-national companies face many challenges when trying to identifyinternational companies and accounts. Currently, searching across thecompany for data relating to a particular customer or supplier requiresperforming multiple searches of the various databases that aremaintained in multiple languages. In addition, when searching a customerdatabase for a foreign company name the search results may yieldirrelevant search hits because a company may be known by another name ina foreign country. Also companies may not have personnel to performdatabase searches in each and every foreign language to locate the nameof the desired foreign company.

SUMMARY

In accordance with an embodiment of the invention, a method for foreignname matching is provided. The method includes receiving a first entityname from a first database, wherein the first database includes aplurality of entity names in a first language, and receiving a seconddatabase, wherein the second database includes a plurality of entitynames in a second language, wherein the first language is different fromthe second language. The method also includes performing an Internetsearch query based on the first entity name, wherein a language settingof the Internet search query is configured to the second language, andidentifying a list of candidate names based on a set of results from theInternet search query. The method includes filtering the list ofcandidate names to obtain a resulting candidate name, and determiningwhether the resulting candidate name matches one of the plurality ofentity names in the second database. Based on the determining whetherthe resulting candidate name matches one of the plurality of entitynames in the second database, the method includes creating anassociation between the first entity name in the first database and amatching entity name in the second database.

In accordance with another embodiment of the invention, processor systemfor foreign name matching is provided includes a processor incommunication with a memory. The processor is configured to receive afirst entity name from a first database, wherein the first databaseincludes a plurality of entity names in a first language, and receive asecond database, wherein the second database includes a plurality ofentity names in a second language, wherein the first language isdifferent from the second language. The processor is further configuredto perform an Internet search query based on the first entity name,wherein a language setting of the Internet search query is configured tothe second language, and identify a list of candidate names based on aset of results from the Internet search query. The processor is furtherconfigured to filter the list of candidate names to obtain a resultingcandidate name and determine whether the resulting candidate namematches one of the plurality of entity names in the second database.Based on the determination of whether the resulting candidate namematches one of the plurality of entity names in the second database, theprocessor is configured to create an association between the firstentity name in the first database and a matching entity name in thesecond database.

In accordance with a further embodiment of the invention, a computerprogram product for foreign name matching is provided including anon-transitory storage medium readable by a processing circuit andstoring instructions for execution by the processing circuit forperforming a method. The computer program product includes receiving afirst entity name from a first database, wherein the first databaseincludes a plurality of entity names in a first language and receiving asecond database, wherein the second database includes a plurality ofentity names in a second language, wherein the first language isdifferent from the second language. The computer program product furtherincludes performing an Internet search query based on the first entityname, wherein a language setting of the Internet search query isconfigured to the second language, and identifying a list of candidatenames based on a set of results from the Internet search query. Thecomputer program product includes filtering the list of candidate namesto obtain a resulting candidate name, and determining whether theresulting candidate name matches one of the plurality of entity names inthe second database. Based on the determining whether the resultingcandidate name matches one of the plurality of entity names in thesecond database, the computer program product includes creating anassociation between the first entity name in the first database and amatching entity name in the second database.

BRIEF DESCRIPTION OF THE DRAWINGS

The subject matter which is regarded as the invention is particularlypointed out and distinctly claimed in the claims at the conclusion ofthe specification. The foregoing and other features and advantages ofthe invention are apparent from the following detailed description takenin conjunction with the accompanying drawings in which:

FIG. 1 is a block diagram illustrating one example of a processingsystem for practice of the teachings herein;

FIG. 2 is a flow diagram illustrating a method for foreign organizationname matching in accordance with an exemplary embodiment;

FIG. 3 is a flow diagram illustrating another method of foreignorganization name matching in accordance with an exemplary embodiment;and

FIG. 4 is a block diagram of a system for implementing the method offoreign organization name matching in accordance with an exemplaryembodiment.

DETAILED DESCRIPTION

In accordance with exemplary embodiments of the disclosure, methods,systems, and computer program products for foreign organization namematching are provided. Exemplary embodiments include leveraging onlinesearch tools to determine matching entries between foreign databases. Ingeneral, online search engines are helpful for searching data indifferent languages and have the capability to correct typographicalerrors and compensate for incomplete search queries. In exemplaryembodiments, a company name associated with a first language is searchedusing a first Internet search tool where the search tool is configuredin a second language. For example, “Bank of China” is searched inChinese. Exemplary embodiments include performing another Internetsearch based on the results of the first search where the second searchis configured in the second language. For example, taking the results ofsearching “Bank of China” from a first search and using those results, asecond search is performed where the second search is performed inChinese. Embodiments include filtering the search results. Otherembodiments include comparing the results of the two searches todetermine the most relevant match. Exemplary embodiments also includecalculating a confidence level and confidence threshold to determine themost relevant matches. Although this disclosure generally refers to thisspecific embodiment, it will be apparent to those of ordinary skill inthe art that the methods taught herein can be used for any entrymatching technique between foreign databases.

Referring to FIG. 1, there is shown an embodiment of a processing system100 for implementing the teachings herein. In this embodiment, thesystem 100 has one or more central processing units (processors) 101 a,101 b, 101 c, etc. (collectively or generically referred to asprocessor(s) 101). In one embodiment, each processor 101 may include areduced instruction set computer (RISC) microprocessor. Processors 101are coupled to system memory 114 and various other components via asystem bus 113. Read only memory (ROM) 102 is coupled to the system bus113 and may include a basic input/output system (BIOS), which controlscertain basic functions of system 100.

FIG. 1 further depicts an input/output (I/O) adapter 107 and a networkadapter 106 coupled to the system bus 113. I/O adapter 107 may be asmall computer system interface (SCSI) adapter that communicates with ahard disk 103 and/or tape storage drive 105 or any other similarcomponent. I/O adapter 107, hard disk 103, and tape storage device 105are collectively referred to herein as mass storage 104. Operatingsystem 120 for execution on the processing system 100 may be stored inmass storage 104. A network adapter 106 interconnects bus 113 with anoutside network 116 enabling data processing system 100 to communicatewith other such systems. A screen (e.g., a display monitor) 115 isconnected to system bus 113 by display adaptor 112, which may include agraphics adapter to improve the performance of graphics intensiveapplications and a video controller. In one embodiment, adapters 107,106, and 112 may be connected to one or more I/O busses that areconnected to system bus 113 via an intermediate bus bridge (not shown).Suitable I/O buses for connecting peripheral devices such as hard diskcontrollers, network adapters, and graphics adapters typically includecommon protocols, such as the Peripheral Component Interconnect (PCI).Additional input/output devices are shown as connected to system bus 113via user interface adapter 108 and display adapter 112. A keyboard 109,mouse 110, and speaker 111 all interconnected to bus 113 via userinterface adapter 108, which may include, for example, a Super I/O chipintegrating multiple device adapters into a single integrated circuit.

In exemplary embodiments, the processing system 100 includes a graphicsprocessing unit 130. Graphics processing unit 130 is a specializedelectronic circuit designed to manipulate and alter memory to acceleratethe creation of images in a frame buffer intended for output to adisplay. In general, graphics processing unit 130 is very efficient atmanipulating computer graphics and image processing, and has a highlyparallel structure that makes it more effective than general-purposeCPUs for algorithms where processing of large blocks of data is done inparallel.

Thus, as configured in FIG. 1, the system 100 includes processingcapability in the form of processors 101, storage capability includingsystem memory 114 and mass storage 104, input means such as keyboard 109and mouse 110, and output capability including speaker 111 and display115. In one embodiment, a portion of system memory 114 and mass storage104 collectively store an operating system to coordinate the functionsof the various components shown in FIG. 1.

Referring now to FIG. 2, a flow diagram of a method 200 for foreignorganization name matching in accordance with an exemplary embodiment isshown. As shown at block 202, the method 200 includes receiving a firstentity name from a first database, wherein the first database includes aplurality of entity names in a first language. As an example, thereceived entity name is “Bank of China” or “BOC.” Next, as shown atblock 204, the method includes receiving a second database, wherein thesecond database includes a plurality of entity names in a secondlanguage, wherein the first language is different from the secondlanguage. For example, the second database can be configured to storedata in the second language which is Chinese, while the first languageis configured to English.

As shown in block 206, the method of 200 includes performing an Internetsearch query based on the first entity name, wherein the languagesetting of the Internet search query is configured to the secondlanguage. For example, “Bank of China” or “BOC” is searched in an onlinesearch engine, such as Google, Bing, or Yahoo!, where the Internetsearch language setting is set to Chinese. Next, as shown in block 208,the method 200 includes identifying a list of candidate names based on aset of results from the Internet search query. In order to identify thelist of candidate names, a subset of the search results from theInternet search query may be determined. For example, the top 10 searchresults may comprise the list of candidate names where any number ofcandidate names can be configured to be the top candidates.

As shown in block 210, the method 200 further includes filtering thelist of candidate names to obtain a resulting candidate name. The resultof filtering the list is not limited to a single resulting candidatename, but could result in a list of a plurality of resulting candidatenames. Various filtering techniques can be used to determine the mostrelevant results from the search and to remove unwanted search hits.Filtering can be based on co-occurrence frequency, transliteration,translation, or other known filtering techniques. Co-occurrencefrequency filtering occurs when a term appearing in the search resultsis compared to the other terms of the search result. The terms thatappear in the highest frequency are deemed most relevant. In contrastwhen terms appear less in frequency they are deemed less relevant andcan be removed from the list of results. Transliteration is techniquewhere each of the characters of a term are represented in a differentalphabet. As an example transliteration may be based on Pinyin,abbreviations, or Wade-Giles spelling. Translation is a technique wherewords or text from one language are represented in another language.Additionally, translations may be based on by pronunciation or it may bebased on the literal meaning of the terms. Filtering is not limited tothese aforementioned techniques, but other known filtering techniquesmay also be applied. Any of these techniques or combination oftechniques may be used to filter the list of candidate names.

Next, as shown in block 212, the method 200 includes determining whetherthe resulting candidate name matches one of the plurality of entitynames in the second database. As shown in block 214 of method 200, whena resulting candidate name is matched to one of the plurality of entitynames in the second database, an association is created between thefirst entity name in the first database and the matching entity name inthe second database.

Referring now to FIG. 3, a flow diagram of a method 300 for foreignorganization name matching in accordance with an exemplary embodiment isshown. In an exemplary embodiment when the method of FIG. 2 does notlead to a matching result, the method 300 can be executed. The flowdiagram of method 300 is also referred to herein as a bi-languagematching procedure. As shown in block 302, the method of 300 includesperforming a second Internet search query based on the resultingcandidate name, wherein a language setting of the second Internet searchquery is configured to the second language. For example,

(which translates to “BOC” represents “Bank of China”) as a resultingcandidate name is searched in an Internet search engine, where thelanguage setting of the Internet search engine is set to Chinese.

As shown in block 304, the method of 300 includes identifying a secondlist of candidate names based on a set of results from the secondInternet search query. Next, as shown at block 306, the method 300further includes filtering the second list of candidate names to obtaina second resulting candidate name. As shown in block 308, the method of300 includes determining whether the resulting candidate name matchesthe second resulting candidate name. If a match results, then anassociation is created between the resulting candidate name and thesecond resulting candidate name.

However, if no match results between the resulting candidate name andthe second resulting candidate name, a confidence level is calculated todetermine the correspondence of the resulting candidate name to thesecond resulting candidate name. The confidence level indicates aprobable association of the resulting candidate name and the secondresulting candidate name between the first language and the secondlanguage. The association with the highest confidence level is selectedas the most suitable match.

In an exemplary embodiment, the resulting candidate name and the secondresulting candidate name are lists including a plurality of resultingcandidate names. Additionally, these lists can be compared to each otherto determine the matches between the results returned from the firstInternet search query and results returned from the second Internetsearch query. Confidence levels can be calculated to determine theassociations between the lists.

In an exemplary embodiment, a confidence level threshold is used toidentify a potentially related match. Matches that fail to meet theconfidence level threshold can be removed from further consideration.The confidence level threshold can be learned from a standard trainingset.

In an exemplary embodiment, the initial Internet search query caninclude searching the first entity name in the first language and one ormore entity types in the second language. An entity type describes atype of business which includes but is not limited to terms indicating acompany, LLC, LLP, Inc. and others, to optimize the search results. Forexample, an Internet search query would include both “Bank of China”(BOC) and “

” in a single search string.

translates to “company” in English. Including the entity type in thesearch query will inform the search engine on the preferred scope ofsearch, which will lead to the Internet search tool providing higherquality results.

In an exemplary embodiment, a bi-matching process is executed when giventhe candidate names resulting from the first Internet search query wherethe language setting is set to a second language, the candidate namesare searched reversely, meaning the candidate names are searched in thefirst language. If the search results indicate the originally searchedentity name, the confidence level is very high because the reversesearch found a match. For example, searching “Bank of China” or “BOC” inan initial search query, where the language setting of the Internetsearch query is set to a second language (Chinese), results in thecandidate names including

and

. In bi-matching these candidate names (

and

) are then searched in the first language (English). Reversely searching

results in many relevant “Bank of China” and “BOC” search hits whilesearching

results in very few “Bank of China” or “BOC” related search hits.Therefore we know that

is the most relevant candidate name. The candidate names that are notrelevant may be removed from the list based on this technique. If thereverse search results in an entity name matching the originallysearched entity name, then the confidence level will be high.

In an exemplary embodiment, bi-language searching includes a firstsearch being performed in a second language and a second search beingperformed in the same second language. The results of the two searchesare then cross-checked with one another to determine the likelihood ofany existing matches. This cross-check is referred to as a finalmatching procedure. After the first Internet search query which isdescribed above is performed, a second Internet search query isperformed. For example, “

,” which stands for “BOC” (Bank of China), is searched in Chinese whichis the second language. If the results contain several search resultscontaining “

” then it is likely that these refer to the same entity. If so, anassociation is created among these matching entity names. In sum, thefinal matching process performs a second Internet Search in the secondlanguage where the results are compared to the results of the initialInternet search query.

When comparing the two lists, a confidence level and a confidence levelthreshold can be calculated. They are then used to determine therelationship between the candidate names in the two lists, and theassociations having the highest confidence level are taken to berelated.

In an exemplary embodiment, after the list of candidates names areidentified from a first Internet search query, each of the candidatenames are segmented and analyzed by existing word segmentation andentity detection methods. These results are then screened and filteredby various techniques. The remaining candidate names are then reverselysearched, in the aforementioned bi-matching process. The objectrecognition process allows for a granular analysis of the terms in thecandidate names in addition to considering the combination of terms in acandidate name as a whole. Object recognition enhances the quality ofthe search results.

Referring now to FIG. 4, a system 400 of an exemplary embodiment inaccordance with the invention is shown. Processing system 402, may bethe processing system shown as such in FIG. 1, includes a processor 404.The processing system 402 is configured to communicate with database406, which stores data in a first language, and is also configured tocommunicate with database 408, which stores data in a second language.In an exemplary embodiment, the processing system 402 is configured touse the method discussed herein to identify common entities across thefirst and second databases, and to create associations between thecommon entities.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

What is claimed is:
 1. A system for foreign organization name matchingcomprising a processor, the processor being configured to: receive afirst entity name from a first database, wherein the first databaseincludes a plurality of entity names in a first language; receive asecond database, wherein the second database includes a plurality ofentity names in a second language, wherein the first language isdifferent from the second language; perform an Internet search querybased on the first entity name, wherein a language setting of theInternet search query is configured to the second language, whereinperforming the Internet search query includes simultaneously searchingboth the first entity name in the first language and one or more entitytypes in the second language in a single search string, wherein the oneor more entity types is associated with a business type, wherein thebusiness type is one of a company type, a limited liability company(LLC), a limited liability partnership (LLP), and an incorporation;identify a list of candidate names based on a set of results from theInternet search query; filter the list of candidate names to obtain aresulting candidate name; wherein the filtering removes one or morecandidate names from the list based on a co-occurrence frequency checkamong the candidate names; determine whether the resulting candidatename matches one of the plurality of entity names in the seconddatabase; and based on the determination of whether the resultingcandidate name matches one of the plurality of entity names in thesecond database, create an association between the first entity name inthe first database and a matching entity name in the second database. 2.The system of claim 1, wherein the filtering removes one or morecandidate names from the list based on a translation of one or more ofthe first entity names and the candidate names, wherein the translationis between the first language and the second language.
 3. The system ofclaim 1, wherein filtering removes one or more candidate names form thelist based on a transliteration of the first entity name.
 4. The systemof claim 1, based on a determination that the resulting candidate namedoes not match one of the plurality of entity names of the seconddatabase, the processor further configured to: perform a second Internetsearch query based on the resulting candidate name, wherein a languagesetting of the second Internet search query is configured to the secondlanguage; identify a second list of candidate names based on a set ofresults from the second Internet search query; and filter the secondlist of candidate names to obtain a second resulting candidate name; anddetermine whether the resulting candidate name matches the secondresulting candidate name.
 5. The system of claim 4, wherein theprocessor is further configured to: determine there is no match betweenthe resulting candidate name and the second resulting candidate name,calculate a confidence level to determine the association between theresulting candidate name and the second resulting candidate name;wherein the confidence level reflects a correspondence chance betweenthe first language and the second language.
 6. The system of claim 5,the processor is further configured to: utilize a confidence levelthreshold to identify a potential related result, wherein the confidencelevel threshold is learned from a standard training set.
 7. The systemof claim 1, wherein performing the Internet search query includessearching the first entity name in the first language and one or moreentity types in the second language.
 8. A computer program product forforeign name matching including a non-transitory storage medium readableby a processing circuit and storing instructions for execution by theprocessing circuit for performing a method, comprising: receiving afirst entity name from a first database, wherein the first databaseincludes a plurality of entity names in a first language; receiving asecond database, wherein the second database includes a plurality ofentity names in a second language, wherein the first language isdifferent from the second language; performing an Internet search querybased on the first entity name, wherein a language setting of theInternet search query is configured to the second language, whereinperforming the Internet search query includes simultaneously searchingboth the first entity name in the first language and one or more entitytypes in the second language in a single search string, wherein the oneor more entity types is associated with a business type, wherein thebusiness type is one of a company type, a limited liability company(LLC), a limited liability partnership (LLP), and an incorporation;identifying a list of candidate names based on a set of results from theInternet search query; wherein the filtering removes one or morecandidate names from the list based on a co-occurrence frequency checkamong the candidate names; filtering the list of candidate names toobtain a resulting candidate name; determining whether the resultingcandidate name matches one of the plurality of entity names in thesecond database; and based on the determining whether the resultingcandidate name matches one of the plurality of entity names in thesecond database, creating an association between the first entity namein the first database and a matching entity name in the second database.9. The computer program product of claim 8, based on a determinationthat the resulting candidate name does not match one of the plurality ofentity names of the second database, the method further comprises:performing a second Internet search query based on the resultingcandidate name, wherein a language setting of the second Internet searchquery is configured to the second language; identifying a second list ofcandidate names based on a set of results from the second Internetsearch query; and filtering the second list of candidate names to obtaina second resulting candidate name; and determining whether the resultingcandidate name matches the second resulting candidate name.
 10. Thecomputer program product of claim 9, determining there is no matchbetween the resulting candidate name and the second resulting candidatename, calculating a confidence level to determine the associationbetween the resulting candidate name and the second resulting candidatename; wherein the confidence level reflects a correspondence chancebetween the first language and the second language; and utilizing aconfidence level threshold to identify a potential related result,wherein the confidence level threshold is learned from a standardtraining set.
 11. The computer program product of claim 8, whereinperforming the Internet search query includes searching the first entityname in the first language and one or more entity types in the secondlanguage.